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Updated: Apr 23, 2026

Author Spotlight: Tracking Electrochemistry on Single Nanoparticles with Surface-Enhanced Raman Scattering Spectroscopy and Microscopy
Published on: May 12, 2023
Exploring charge-transfer effects at metal-molecule interfaces through modeling surface-enhanced Raman spectroscopy
Imran Chaudhry1, Gaohe Hu1, Lasse Jensen1
1Department of Chemistry, Pennsylvania State University, University Park, Pennsylvania, 16803, USA. jensen@chem.psu.edu.
This study introduces an efficient model combining simplified time-dependent density functional theory and a Raman bond model to understand charge transfer at metal-molecule interfaces. This approach aids in interpreting surface-enhanced Raman spectroscopy (SERS) and tip-enhanced Raman scattering (TERS) for new material design.
Area of Science:
- Physical Chemistry
- Materials Science
- Spectroscopy
Background:
- Charge transfer (CT) at metal-molecule interfaces is crucial for catalysis, sensing, and energy applications.
- Surface-enhanced Raman spectroscopy (SERS) probes these interfaces by reflecting electronic structure changes influenced by CT.
- Modeling interfacial CT in large systems requires efficient electronic structure methods.
Purpose of the Study:
- To develop and present an efficient model for studying intrinsic charge transfer (CT) effects in SERS.
- To investigate the influence of molecular orientation and intermolecular interactions on interfacial CT using N-heterocyclic carbenes (NHCs).
- To apply the model to characterize the role of CT in tip-enhanced Raman scattering (TERS) molecular imaging.
Main Methods:
- Combining a simplified time-dependent density functional theory (TDDFT) approach with a first-principles Raman bond model.
- Partitioning Raman intensities into bond contributions to interpret SERS spectra as interatomic charge-flow modulations.
- Utilizing the Raman bond model to analyze molecular orientation, intermolecular interactions, and CT in NHC systems and TERS imaging.
Main Results:
- The developed model efficiently studies interfacial CT effects in SERS.
- Molecular orientation and intermolecular interactions significantly influence interfacial CT.
- The Raman bond model successfully characterizes the importance of interfacial CT in TERS imaging.
Conclusions:
- The Raman bond model, coupled with efficient first-principles calculations, provides a powerful tool for interpreting SERS spectra.
- This approach offers new insights into interfacial CT phenomena.
- The model enhances understanding of charge flow's role in molecular imaging techniques like TERS.

